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Prospective review of biomarkers and revascularization in 2251 patients with chronic coronary syndrome over 12.6 yearsSimple Blood Test Predicts Heart Surgery Success Better Than Risk Scores

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Key Takeaway
Note that NT-proBNP predicts mortality in chronic coronary syndrome, with residual risk persisting after revascularization.

This prospective study review examines the role of cardiovascular biomarkers and revascularization in patients with chronic coronary syndrome and obstructive coronary artery disease. The analysis covers 2251 patients undergoing coronary angiography, comparing cardiac biomarkers (hsTnT, NTproBNP, hsCRP, IL6, copeptin) and revascularization procedures against optimal medical therapy over a 12.6-year follow-up period.

Regarding diagnostic performance, hsTnT provided meaningful diagnostic capacity with an AUC of 0.669, which was comparable to the risk factor weighted clinical likelihood AUC of 0.663. Among 888 patients (39.4%) with obstructive CAD, NT-proBNP emerged as the strongest universal mortality predictor. Hazard ratios indicated increased risk with values of 1.488 for optimal medical therapy, 1.220 for PCI, and 1.220 for CABG, with p-values of p<0.001, p=0.029, and p=0.010 respectively.

Mortality risk stratification by NT-proBNP threshold revealed that below 150 pg/mL, mortality was comparably low irrespective of revascularization. Above this threshold, baseline mortality risk was markedly elevated with an HR of 5.75 (p<0.001). Revascularization was associated with a 40% mortality reduction in this high-risk group, though substantial residual risk persisted with an HR of 3.43 (p<0.001). The study authors highlight that the role of these biomarkers in detecting obstruction and predicting outcomes after revascularization in chronic coronary syndrome remains unclear.

Why old risk checks fail

For years, doctors relied on age and blood pressure. They guessed who needed invasive procedures based on history. But this new research shows a different path.

Old methods look at what happened in the past. They do not always see current stress on the heart muscle. This gap leaves patients guessing about their true risk.

The surprising shift in science

Researchers tested five different blood markers during routine checks. They found one marker stood out clearly for predicting death. Another marker helped find hidden blockages in the arteries.

This changes how we view heart disease diagnosis. It moves medicine away from one-size-fits-all approaches. Now, doctors can see inside the heart’s stress levels.

The body’s warning system

Think of your heart like a car engine. Biomarkers are like dashboard warning lights. They show stress before a major breakdown happens.

High levels of certain proteins mean the heart is working too hard. It is like a traffic jam building up on a highway. The pressure builds until something must give.

Researchers followed 2,251 patients for over 12 years. This long timeline gives strong evidence for their findings. The study focused on people with chronic heart issues.

One marker, NT-proBNP, was the strongest predictor. People with levels above 150 saw a 40% drop in death risk with surgery. Those below 150 did not benefit as much from the procedure.

This doesn’t mean this treatment is available yet.

The study also found a marker called hsTnT. It helped find blockages better than standard risk factors. This is especially useful when risk scores say the danger is low.

You cannot order this test at home today. Share these findings with your cardiologist during your next visit. They may consider these markers for your care plan.

Talk to your doctor about your specific risk profile. Ask if blood tests could clarify your treatment options. Personalized care is the future of heart health.

More trials are needed to confirm these results. Approval for clinical use takes time and careful review. Scientists must ensure these tests work for everyone.

Research takes time to move from paper to practice. But this study offers a clear path forward. It promises better decisions for patients with heart disease.

Study Details

Sample sizen = 2,251
EvidenceLevel 5
PublishedApr 2026
View Original Abstract ↓
Background The role of cardiovascular biomarkers in detecting coronary obstruction and predicting outcomes after revascularisation in chronic coronary syndrome (CCS) remains unclear. Methods Patients undergoing coronary angiography for suspected CCS were prospectively studied (n=2,251; median follow up 12.6 years). Obstructive coronary artery disease (CAD) was defined as at least 50% stenosis in at least 1 major epicardial vessel. High sensitivity cardiac troponin T (hsTnT), N terminal pro B type natriuretic peptide (NTproBNP), high sensitivity C reactive protein (hsCRP), interleukin6 (IL6), and copeptin were measured. Diagnostic performance was assessed by receiver operating characteristic (ROC); survival analysis used multivariate Cox regression with biomarker vs. treatment interaction testing. Results Overall 888 patients (39.4%) had obstructive CAD. Only hsTnT provided meaningful diagnostic capacity (area under the curve [AUC] 0.669), comparable to risk factor weighted clinical likelihood (RF CL; AUC 0.663), with incremental dignostic benefit inversely proportional to RF CL category (delta AUC: very low 10.4%, low 8.0%, intermediate/high 5.0%). NT-proBNP was the strongest universal mortality predictor across optimal medical therapy (OMT; (hazard ratio [HR] (1.488, 95%CI 1.288;1.720, p<0.001), percutaneous coronary intervention (PCI; HR 1.220, 95%CI 1.020;1.458, p=0.029), and coronary artery bypass grafting (CABG; HR 1.220, 95%CI 1.049;1.420, p=0.010). Interaction analysis validated a data-derived 150 pg/mL threshold (p=0.032): below it, mortality was comparably low irrespective of revascularisation status (HR 0.98, 95%CI 0.67;1.43, p=0.910); above it, baseline mortality risk was markedly elevated (HR 5.75, 95%CI 4.10;8.00, p<0.001) and revascularisation associated with 40% mortality reduction, though substantial residual risk persisted (HR 3.43, 95%CI 2.70;4.40, p<0.001). Conclusions HsTnT provides meaningful diagnostic value with RF CL category-specific incremental benefit. NT-proBNP emerged as a universal prognostic marker identifying patients with distinct revascularisation associated mortality reduction driven by differential baseline risk.
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